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2. Comparison of anti-plagiarism software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_anti...

   Software Developer First public release Latest stable version License Deployment options Scripts supported Notes Copyscape: Indigo Stream Technologies, Ltd.

3. Content similarity detection - Wikipedia

   en.wikipedia.org/wiki/Content_similarity_detection

   Plagiarism in computer source code is also frequent, and requires different tools than those used for text comparisons in document. Significant research has been dedicated to academic source-code plagiarism. [47] A distinctive aspect of source-code plagiarism is that there are no essay mills, such as can be found in traditional plagiarism ...

4. Copyleaks - Wikipedia

   en.wikipedia.org/wiki/Copyleaks

   Copyleaks is a plagiarism detection platform that uses artificial intelligence (AI) to identify similar and identical content across various formats. [1] [2]Copyleaks was founded in 2015 by Alon Yamin and Yehonatan Bitton, software developers working with text analysis, AI, machine learning, and other cutting-edge technologies.

5. Grammarly - Wikipedia

   en.wikipedia.org/wiki/Grammarly

   Grammarly is an English language writing assistant software tool. It reviews the spelling, grammar, and tone of a piece of writing as well as identifying possible instances of plagiarism . It can also suggest style and tonal recommendations to users and produce writing from prompts with its generative AI capabilities.

6. Turnitin - Wikipedia

   en.wikipedia.org/wiki/Turnitin

   Other tools included with the Turnitin suite are GradeMark (online grading and corrective feedback) and PeerMark (student peer-review service). In the UK, the service is supported and promoted by JISC as 'Plagiarism Detection Service Turnitin UK'. The Service is operated by iParadigms, in conjunction with Northumbria Learning, the European ...

7. She lost her scholarship over an AI allegation — and it ...

   www.aol.com/she-lost-her-scholarship-over...

   AI detection tools look for patterns of "burstiness" and "perplexity” as opposed to comparing the similarity of student work to something in a database or on the web, according to Conrad.